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Bayesian estimation of Cox models with non-nested random effects: an application to the ratification of ILO conventions by developing countries

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Author Info

  • Bernhard Boockmann.
  • Dragana Djurdjevic.
  • Guillaume Horny.
  • François Laisney.

Abstract

We use a multivariate hazard model to analyse the ratification behaviour of ILO conventions by developing countries. The model accounts for two random effects: one at the country level, the other at the convention level. After investigating identification, we use a semi-parametric Bayesian approach based on the partial likelihood. We find diverging results between Bayesian and frequentist estimates concerning the importance of the two unobserved heterogeneities.

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Bibliographic Info

Paper provided by Banque de France in its series Working papers with number 249.

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Length: 35 pages
Date of creation: 2009
Date of revision:
Handle: RePEc:bfr:banfra:249

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Postal: Banque de France 31 Rue Croix des Petits Champs LABOLOG - 49-1404 75049 PARIS
Web page: http://www.banque-france.fr/
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Keywords: Gibbs sampling; partial likelihood; frailties; duration analysis.;

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  1. Germán Rodríguez & Noreen Goldman, 2001. "Improved estimation procedures for multilevel models with binary response: a case-study," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 339-355.
  2. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460 Elsevier.
  3. Lancaster, Tony, 1979. "Econometric Methods for the Duration of Unemployment," Econometrica, Econometric Society, vol. 47(4), pages 939-56, July.
  4. Honore, Bo E, 1993. "Identification Results for Duration Models with Multiple Spells," Review of Economic Studies, Wiley Blackwell, vol. 60(1), pages 241-46, January.
  5. Ridder, G. & Tunali, I., 1997. "Stratified Partial Likelihood Estimation," Papers 1997/17, Koc University.
  6. Guillaume Horny, 2009. "Inference in mixed proportional hazard models with K random effects," Statistical Papers, Springer, vol. 50(3), pages 481-499, June.
  7. Bernhard Boockmann, 2001. "The ratification of ILO conventions: A hazard rate analysis," Economics and Politics, Wiley Blackwell, vol. 13(3), pages 281-309, November.
  8. Bolstad W. M & Manda S. O, 2001. "Investigating Child Mortality in Malawi Using Family and Community Random Effects: A Bayesian Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 12-19, March.
  9. Elbers, Chris & Ridder, Geert, 1982. "True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model," Review of Economic Studies, Wiley Blackwell, vol. 49(3), pages 403-09, July.
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Cited by:
  1. Konstantinos, Pouliakas & Ioannis, Theodossiou, 2010. "An Inquiry Into the Theory, Causes and Consequences of Monitoring Indicators of Health and Safety At Work," MPRA Paper 20336, University Library of Munich, Germany.
  2. Guillaume Horny, 2009. "Inference in mixed proportional hazard models with K random effects," Statistical Papers, Springer, vol. 50(3), pages 481-499, June.
  3. Rute Mendes & Gerard J. Van den Berg & Guillaume Horny, 2007. "Job mobility in Portugal: a Bayesian study with matched worker-firm data," 2007 Meeting Papers 454, Society for Economic Dynamics.
  4. Horny, Guillaume & Mendes, Rute & van den Berg, Gerard J, 2009. "Job durations with worker and firm specific effects: MCMC estimation with longitudinal employer-employee data," Working Paper Series 2009:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.

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